Torque Ripple Minimization in EV Application

Abstract

Switched Reluctance Motor (SRM) drives acts an alternative for the PM motor because of its suitable speed-torque characteristics for traction application. However, it exhibits higher torque ripple and larger acoustic noise. Hence, to overcome these problems, controllers are introduced. But the commercial controllers designed for SRM slows down its efficiency while implementing in traction application. Thus, this work modeled a specific controller, for SRM which makes it more suitable for Electric Vehicle (EV). A firefly tuned PI controller is implemented here to minimize torque ripple besides with speed control. It also optimizes the selection of both turn ON/OFF angle. Thus, to examine the efficiency of the proposed controller, the both simulation and hardware results were carried out. From the result analysis, it is observed that the proposed methodology reduces the ripple present in the torque.

Keywords:

• SRM
• PI controller
• firefly algorithm

Disclosure Statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Mahalakshmi Gunasekaran

Mahalakshmi Gunasekaran completed her Bachelor degree (B.E) in Electrical and Electronics Engineering from Government College of Engineering, Salem, Masters in Power electronics and drives from Sona College of Technology, Salem. She published research papers in International and National Journals. Her research area includes electrical machine design and soft computing topologies.

Kanthalakshmi Srinivasan

Kanthalakshmi Srinivasan is currently serving as the Professor in the Department of Electrical and Electronics Engineering, PSG College of Technology, Coimbatore, India. She has about two decades of teaching experience and one year of industrial experience. She has published several technical papers in reputed International Journals. Her research interests are Control and Drives, Energy management system, Fault Tolerant Control and Embedded Control.